|
AT2k Design BBS Message Area
Casually read the BBS message area using an easy to use interface. Messages are categorized exactly like they are on the BBS. You may post new messages or reply to existing messages! You are not logged in. Login here for full access privileges. |
| Previous Message | Next Message | Back to Slashdot <-- <--- | Return to Home Page |
|
||||||
| From | To | Subject | Date/Time | |||
|
|
VRSS | All | Magika 1.0 Goes Stable As Google Rebuilds Its File Detection Too |
November 6, 2025 6:40 PM |
||
Feed: Slashdot Feed Link: https://slashdot.org/ --- Title: Magika 1.0 Goes Stable As Google Rebuilds Its File Detection Tool In Rust Link: https://developers.slashdot.org/story/25/11/0... BrianFagioli writes: Google has released Magika 1.0, a stable version of its AI-based file type detection tool, and rebuilt the entire engine in Rust for speed and memory safety. The system now recognizes more than 200 file types, up from about 100, and is better at distinguishing look-alike formats such as JSON vs JSONL, TSV vs CSV, C vs C++, and JavaScript vs TypeScript. The team used a 3TB training dataset and even relied on Gemini to generate synthetic samples for rare file types, allowing Magika to handle formats that don't have large, publicly available corpora. The tool supports Python and TypeScript integrations and offers a native Rust command-line client. Under the hood, Magika uses ONNX Runtime for inference and Tokio for parallel processing, allowing it to scan around 1,000 files per second on a modern laptop core and scale further with more CPU cores. Google says this makes Magika suitable for security workflows, automated analysis pipelines, and general developer tooling. Installation is a single curl or PowerShell command, and the project remains fully open source. The project is available on GitHub and documentation can be found here. Read more of this story at Slashdot. --- VRSS v2.1.180528 |
||||||
|
||||||
| Previous Message | Next Message | Back to Slashdot <-- <--- | Return to Home Page |
|
Execution Time: 0.0125 seconds If you experience any problems with this website or need help, contact the webmaster. VADV-PHP Copyright © 2002-2025 Steve Winn, Aspect Technologies. All Rights Reserved. Virtual Advanced Copyright © 1995-1997 Roland De Graaf. |
